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Samsung Galaxy S23 Ultra is an unbeatable camera smartphone, thanks ISOCELL HP2
Samsung continues to innovate camera and sensor technologies to provide a professional-level camera experience on smartphones. The Samsung Galaxy S23 Ultra boasts a professional-level camera with the ISOCELL HP2, the largest sensor of the Galaxy series with adaptive pixels, and diverse advanced technologies.
The ISOCELL HP2 is the largest image sensor in the Galaxy series ever, featuring a 200-megapixel resolution. With massive resolution integrated, the sharpness of colors and images is increased, and even the smallest details of the moment can be recorded even in difficult environments.
From 200-megapixel that delicately record everyday moments, to AI-based advanced pixel technology for Nightography, fast and accurate autofocus, and 8K video shooting with a wider angle of view. Let’s enjoy the special camera experience provided by the Samsung Galaxy S23 Ultra with the ISOCELL HP2.
High-resolution image capturing
A 200-megapixel image is 16 times larger than a 12.5-megapixel image. In other words, it contains 16 times more information and details. In general, cropping or enlarging an image reduces the number of pixels, resulting in a blurry picture, whereas a high-pixel image can maintain a relatively high resolution even after cropping.
In the case of a 200-megapixel image taken with the Galaxy S23 Ultra, even if it is cut in half both horizontally and vertically, there are still 50-megapixel left to preserve the richness and clarity of detail. In addition, ISOCELL HP2 implements the color of images more accurately through advanced deep-learning algorithms.
New pixel structure
Samsung improved the pixel structure so that each pixel in the ISOCELL HP2 image sensor can absorb more light and express richer colors. The newly designed pixel structure, Dual Vertical Transfer Gate (D-VTG), enables accurate color expression even in an overly bright environment.
Three ways in one package
- 200-megapixel, 50-megapixel and 12-megapixel
The Galaxy S23 Ultra’s ISOCELL HP2 camera allows users to shoot with the optimal pixel they want through adaptive pixel technology. Tetra2pixel technology utilizes all 200 million pixels when taking pictures, or uses them in groups of 4 or 16.
In basic mode or in a dark environment, 12-megapixel shooting that captures a lot of light with large pixels provides bright and clear pictures, and in bright environments that require detailed description, all 200 million pixels are used to capture rich details in images.
Striking NIGHTOGRAPHY
Samsung Galaxy S23 Ultra’s Nightography feature has dramatically improved the shooting experience in dark environments. Powered by AI image signal processing technology, the data stored in the image sensor provides clear color and quality as if you were seeing it with your eyes even at night.
Here, the tetra-squared pixel technology of ISOCELL HP2 merges 16 adjacent pixels into one in a dark environment and adjusts the size to 2.4um so that one pixel absorbs more light. This absorbed light information is optimized with the Galaxy S23 Ultra’s advanced AI technology and reborn as a bright and clear picture.
Speed and accuracy
The ISOCELL HP2 improves autofocus technology and enables sharp capture of fast-moving subjects. Unlike previous products, Super QPD autofocus technology is characterized by utilizing all pixels of the image sensor for phase difference detection.
Super QPD technology, which uses all 200 million pixels for autofocus, can quickly and accurately capture moving objects, compared to 180 million pixel products that use only 3% of the pixels of the image sensor for phase detection.
8K videography at 30fps
For 8K video shooting, the ISOCELL HP2 uses tetra-squared pixel technology to combine four pixels into one large pixel to operate as 50 million pixels. Users can shoot cinematic 8K videos at 30fps with brighter, clearer colors and a wider angle of view.
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Samsung established an AI chip design-dedicated Advanced Processor Lab in Silicon Valley, US. Formerly known as the Advanced Institute of Technology, Samsung’s SAIT is said to have formed the new Lab to strengthen its AI chip R&D in the US.
BusinessKorea reports that the new Samsung Advanced Processor Lab to focus on developing next-gen AI semiconductor design assets in the US. The assets are said to be focused on the RISC-V area, which serves as a foundational design asset for semiconductor chip design.
Samsung’s initiative with RISC-V is interpreted as a move towards technological independence. Therefore, the company is expanding its R&D organization in Silicon Valley, aiming to enhance design capabilities to disrupt the market currently dominated by NVIDIA.
Amid the booming AI era, the market of advanced semiconductors is also expanding. Samsung has completed the development of its Mach-1 AI semiconductor and supplied prototypes to global firms including Korea’s Naver. The company has also started the development of Mach-2.
Under the CHIPS Act, Samsung received huge subsidies to boost investment in the US. It’s worth noting that the Biden govt awarded a 12% subsidy of Samsung’s total investment, which is significantly higher than Intel and TSMC’s subsidy.
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Samsung’s first 3nm Exynos 2500 chip could outpace Snapdragon 8 Gen 4 in power efficiency. Both chipsets will power the next-gen Galaxy flagships, scheduled for an early 2025 launch. Recent input suggests that Exynos is returning as a tough rival to Snapdragon.
The Exynos 2500 will be made on Samsung’s 2nd-gen 3nm process technology. The S24’s Exynos 2400 chipset impressed the industry with significant improvements over its predecessor. The company appears to be leveling up the game next year.
Thanks to the cutting-edge process node, Samsung’s next Exynos could finally surpass its Snapdragon counterpart in power efficiency. The company may utilize its advanced FOWLP in the Exynos 2500 to make it run at higher clock speeds at the same power consumption level.
Qualcomm is facing power efficiency concerns with its recent Snapdragon chips. Due to reduced efficiency, phone makers are forced to bring up to 5000mAh battery. Samsung apparently seized this opportunity to bring back its in-house Exynos back to the contest.
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Following Google, Meta, Apple and Microsoft, Samsung and Intel joined the race to develop next-gen AI processors. Aimed to lead AI semiconductor tech, both companies launched chips addressing NVIDIA GPU shortcomings, including price and performance per watt.
After completing the development of MACH-1, Samsung has recently started working on MACH-2. The company has also supplied MACH-1 prototypes to major IT firms in South Korea (Naver) and other parts of the world to gather feedback for MACH-2 development.
Intel launched its latest AI semiconductor – Gaudi 3, collaborating with Naver. The company aims to counter NVIDIA GPU drawbacks, particularly in price and performance per watt. Notably, Intel’s Gaudi 3 offers over 40% better power efficiency than NVIDIA GPUs.
Tech giants launching AI chips also prioritize energy efficiency. Google Cloud’s TPU “v5p” is 60% more energy-efficient than similar hardware, with a performance of 459 TFlops. Samsung also prioritizes power efficiency in MACH-1 and MACH-2 development.
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